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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 3760
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    INDEX
    Explanations

    mentions of the name "Kasim" at varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Islanders
    -0.77
    ycle
    -0.75
     poppy
    -0.72
    ODUCT
    -0.66
    Loading
    -0.62
     stocking
    -0.61
     unsustainable
    -0.61
     combust
    -0.61
    ¥ŀ
    -0.61
     eru
    -0.61
    POSITIVE LOGITS
    imir
    1.08
    iewicz
    1.02
    daq
    0.96
    rils
    0.95
    assin
    0.93
    apeake
    0.92
    ala
    0.91
    sel
    0.87
    sem
    0.85
    bah
    0.85
    Activations Density 0.020%

    No Known Activations